Estimation of the Number of Endmembers via Thresholding Ridge Ratio Criterion. - Xuehu Zhu; Yue Kang 002; Junmin Liu (IEEE Trans. Geosci. Remote. Sens., 2020)

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. - Yizhou Wang 006; Yue Kang 002; Can Qin; Yi Xu 005; Huan Wang 014; Yulun Zhang 001; Yun Fu 001 (CoRR, 2021)

Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. - Qin Ding 002; Yue Kang 002; Yi-Wei Liu; Thomas Chun Man Lee; Cho-Jui Hsieh; James Sharpnack (NeurIPS, 2022)

Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems. - Yue Kang 002; Cho-Jui Hsieh; Thomas Chun Man Lee (NeurIPS, 2022)

Momentum is All You Need for Data-Driven Adaptive Optimization. - Yizhou Wang 006; Yue Kang 002; Can Qin; Huan Wang 014; Yi Xu 005; Yulun Zhang 001; Yun Fu 001 (ICDM, 2023)

Robust Lipschitz Bandits to Adversarial Corruptions. - Yue Kang 002; Cho-Jui Hsieh; Thomas Chun Man Lee (NeurIPS, 2023)

Online Continuous Hyperparameter Optimization for Contextual Bandits. - Yue Kang 002; Cho-Jui Hsieh; Thomas C. M. Lee (CoRR, 2023)

Low-rank Matrix Bandits with Heavy-tailed Rewards. - Yue Kang 002; Cho-Jui Hsieh; Thomas Chun Man Lee (UAI, 2024)

Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits. - Yue Kang 002; Cho-Jui Hsieh; Thomas C. M. Lee (Trans. Mach. Learn. Res., 2024)